{
  "id": "qwen-turbo-01",
  "label": "Qwen Image 2.1 Turbo Q4_K_M · Initial request including model loading · seed 42",
  "group": "qwen21-turbo-q4km-ten",
  "kind": "image",
  "model_id": "qwen-turbo",
  "model": "unsloth/Qwen-Image-2.1-Turbo-GGUF:Q4_K_M",
  "seed": 42,
  "status": "succeeded",
  "accepted_result": true,
  "prompt": "A small orange ceramic fox on a pale wooden desk, soft morning light, plain cream background, realistic studio photograph.",
  "prompt_details": {
    "word_count": 19,
    "complexity": "Very short / retained runtime pair",
    "conditioning_texts": {
      "3.prompt": "Create a single image from the supplied scene description.\n\nSource generation_brief:\nA small orange ceramic fox on a pale wooden desk, soft morning light, plain cream background, realistic studio photograph."
    },
    "actual_positive_text": "Create a single image from the supplied scene description.\n\nSource generation_brief:\nA small orange ceramic fox on a pale wooden desk, soft morning light, plain cream background, realistic studio photograph."
  },
  "parameters": {
    "1 UnetLoaderGGUFAdvanced": {
      "unet_name": "qwen-image-2.1-turbo-Q4_K_M.gguf",
      "dequant_dtype": "float32",
      "patch_dtype": "float32",
      "patch_on_device": false
    },
    "2 CLIPLoader": {
      "clip_name": "qwen3vl_8b_int8_convrot.safetensors",
      "type": "qwen_image",
      "device": "cpu"
    },
    "3 TextEncodeQwenImage21": {
      "negative_prompt": "",
      "resolution": 512
    },
    "4 VAELoader": {
      "vae_name": "qwen_image_2.1_vae_bf16.safetensors"
    },
    "5 QwenImage21Cache": {
      "device": "off",
      "dtype": "default"
    },
    "6 SamplerCustomAdvanced": {},
    "7 VAEDecode": {},
    "8 SaveImage": {},
    "9 RandomNoise": {
      "noise_seed": 42
    },
    "10 CFGGuider": {
      "cfg": 1.0
    },
    "11 KSamplerSelect": {
      "sampler_name": "euler"
    },
    "12 ManualSigmas": {
      "sigmas": "1.0, 0.978453, 0.95418, 0.926626, 0.89508, 0.845148, 0.704534, 0.414568, 0"
    }
  },
  "timing": {
    "factory_trace_seconds": 334.589337,
    "comfy_server_seconds": 320.246,
    "stages_seconds": {
      "node_4_observer_receive_interval": 4.436999999976251,
      "node_2_observer_receive_interval": 6.48399999999674,
      "node_3_observer_receive_interval": 104.32900000002701,
      "node_12_observer_receive_interval": 0.031000000017229468,
      "node_11_observer_receive_interval": 0.014999999955762178,
      "node_1_observer_receive_interval": 1.6570000000065193,
      "node_5_observer_receive_interval": 0.10899999999674037,
      "node_10_observer_receive_interval": 0,
      "node_9_observer_receive_interval": 0,
      "node_6_observer_receive_interval": 159.85899999999674,
      "node_7_observer_receive_interval": 40.75,
      "node_8_observer_receive_interval": 2.047000000020489
    },
    "limits": "Native server boundaries, factory attempt traces and observed delivery have different timing scopes. Observer node intervals include loading/preparation/event delivery, not isolated kernel or weight-only times."
  },
  "cache": {
    "cached_nodes": [],
    "same_runtime_retained": null,
    "immediate_warm_claim": false,
    "encoder_cached": false,
    "context": {
      "workload": "Initial request including model loading",
      "native_inter_run_gap_seconds": null,
      "only_seed_changed_from_predecessor": false,
      "text_changed_from_predecessor": false,
      "cold_start_scope": "The first request includes initial/model work; OS disk-cache state was not isolated."
    }
  },
  "resources": {
    "sampled_summary": {
      "sample_count": 162,
      "inflight_sample_count": 161,
      "minimum_ram_available_bytes": 1912422400,
      "minimum_commit_available_bytes": 11296174080,
      "minimum_system_drive_free_bytes": 18670813184,
      "maximum_sampled_device_gpu_used_mib": 3983
    },
    "limits": "Device-wide GPU observations include display and other workloads. These sampled extrema do not establish dedicated-VRAM residency or absence of shared-memory paging."
  },
  "encoding": {
    "encoder_cached": false,
    "token_truncation_verified": false,
    "interpretation": "Exact Qwen encoder token truncation was not instrumented. The complete actual composed conditioning text is retained."
  },
  "verification": {
    "full_decode": true,
    "checksum": true,
    "acknowledged": true,
    "trace_attachment": true,
    "native_experiment": true,
    "independent_public_copy_decode": true,
    "visual_review": true,
    "quality_scope": "Independent subjective inspection of the original 512×512 PNG; no scored quality benchmark and no causal attribution to quantization or schedule."
  },
  "findings": [
    "A coherent fox figurine standing on a pale wooden desk against a cream background; recognizably matches the simple scene.",
    "Orange fox, desk, cream background and soft studio light are present.",
    "Fine fur-like ridges dominate the body; ceramic material is not convincingly conveyed.",
    "Legs, ears and tail are largely plausible for a stylized figurine. Face is slightly toy-like.",
    "No text requested or visibly generated.",
    "Ceramic material appears more like textured wood, fur or a molded toy."
  ],
  "media": [
    {
      "path": "media/qwen-turbo-01.png",
      "mime_type": "image/png",
      "size_bytes": 261046,
      "sha256": "56129ce43e04bb2aca5849e23b9d6a0c9adfdee3047a9329f1fcc360c2d9eb2e",
      "source_sha256": "c4a363cb2d3fbcb5d51b02226bdb57facc1963d98cac306cefb3ad252700b3d0",
      "width": 512,
      "height": 512,
      "pixel_sha256": "5df320c6bdbdad6dc8dbc07af73f2dc513a55deecad9b2f49b659e85ba5ba2f4",
      "metadata_handling": "PNG re-encoded losslessly without ancillary metadata; decoded pixels unchanged.",
      "public_copy_full_decode_passed": true,
      "source_content_preserved": "Decoded pixels byte-identical"
    }
  ],
  "workflow_path": "workflows/qwen-turbo-01.json",
  "workflow_sha256": "4369239d25533a14c3b5bb3a15d663b4049d3285e9804cc52483e7ffccaf4852",
  "source_workflow_canonical_sha256": "1ff73d5851a428f07381767c01cfdf4675c6c0b6f37e9df58ff08a9c74de77bb"
}